Computational analysis of the interactions of a novel cephalosporin derivative with β-lactamases

Q3 Biochemistry, Genetics and Molecular Biology
Anna Verdino, Felicia Zollo, Margherita De Rosa, Annunziata Soriente, Miguel Ángel Hernández-Martínez, Anna Marabotti
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引用次数: 4

Abstract

One of the main concerns of the modern medicine is the frightening spread of antimicrobial resistance caused mainly by the misuse of antibiotics. The researchers worldwide are actively involved in the search for new classes of antibiotics, and for the modification of known molecules in order to face this threatening problem. We have applied a computational approach to predict the interactions between a new cephalosporin derivative containing an additional β-lactam ring with different substituents, and several serine β-lactamases representative of the different classes of this family of enzymes.

The results of the simulations, performed by using a covalent docking approach, has shown that this compound, although able to bind the selected β-lactamases, has a different predicted binding score for the two β-lactam rings, suggesting that one of them could be more resistant to the attack of these enzymes and stay available to perform its bactericidal activity.

The detailed analysis of the complexes obtained by these simulations suggests possible hints to modulate the affinity of this compound towards these enzymes, in order to develop new derivatives with improved features to escape to degradation.

Abstract Image

新型头孢菌素衍生物与β-内酰胺酶相互作用的计算分析
现代医学的主要关切之一是主要由滥用抗生素引起的抗菌素耐药性的可怕传播。世界各地的研究人员都在积极寻找新型抗生素,并对已知分子进行修饰,以应对这一威胁问题。我们已经应用了一种计算方法来预测含有不同取代基的额外β-内酰胺环的新型头孢菌素衍生物与代表该酶家族不同类别的几种丝氨酸β-内酰胺酶之间的相互作用。通过使用共价对接方法进行的模拟结果表明,该化合物虽然能够结合选定的β-内酰胺酶,但对两个β-内酰胺环的预测结合分数不同,这表明其中一个可能更能抵抗这些酶的攻击,并保持其可用性以执行其杀菌活性。通过这些模拟得到的复合物的详细分析提示了可能的线索,即调节该化合物对这些酶的亲和力,以开发具有改进特征的新衍生物以逃避降解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: BMC Structural Biology is an open access, peer-reviewed journal that considers articles on investigations into the structure of biological macromolecules, including solving structures, structural and functional analyses, and computational modeling.
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